{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T15:35:26Z","timestamp":1773329726349,"version":"3.50.1"},"reference-count":100,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T00:00:00Z","timestamp":1723507200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T00:00:00Z","timestamp":1723507200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100003759","name":"Universidad Polit\u00e9cnica de Madrid","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100003759","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Data Sci Anal"],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:p>The work presented in this article focusses on improving the interpretability of probabilistic topic models created from a large collection of scientific documents that evolve over time. Several time-dependent approaches based on topic models were compared to analyse the annual evolution of latent concepts in the CORD-19 corpus: Dynamic Topic Model, Dynamic Embedded Topic Model, and BERTopic. Then COVID-19 period (December 2019\u2013present) has been analysed in greater depth, month by month, to explore the evolution of what is written about the disease. The evaluations suggest that the Dynamic Topic Model is the best choice to analyse the CORD-19 corpus. A novel topic labelling strategy is proposed for dynamic topic models to analyse the evolution of latent concepts. It incorporates content changes in both the annual evolution of the corpus and the monthly evolution of the COVID-19 disease. The generated labels are manually validated using two approaches: through the most relevant documents on the topic and through the documents that share the most semantically similar label topics. The labelling enables the interpretation of topics. The novel method for dynamic topic labelling fits the content of each topic and supports the semantics of the topics.<\/jats:p>","DOI":"10.1007\/s41060-024-00610-0","type":"journal-article","created":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T13:02:21Z","timestamp":1723554141000},"page":"2551-2581","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Dynamic topic modelling for exploring the scientific literature on coronavirus: an unsupervised labelling technique"],"prefix":"10.1007","volume":"20","author":[{"given":"Ibai","family":"Guill\u00e9n-Pacho","sequence":"first","affiliation":[]},{"given":"Carlos","family":"Badenes-Olmedo","sequence":"additional","affiliation":[]},{"given":"Oscar","family":"Corcho","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,8,13]]},"reference":[{"issue":"1","key":"610_CR1","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1111\/psj.12343","volume":"49","author":"K Isoaho","year":"2019","unstructured":"Isoaho, K., Gritsenko, D., M\u00e4kel\u00e4, E.: Topic modeling and text analysis for qualitative policy research. Policy Stud. J. 49(1), 300\u2013324 (2019). https:\/\/doi.org\/10.1111\/psj.12343","journal-title":"Policy Stud. J."},{"issue":"1","key":"610_CR2","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/s10115-018-1280-0","volume":"61","author":"D Zha","year":"2019","unstructured":"Zha, D., Li, C.: Multi-label dataless text classification with topic modeling. Knowl. Inf. Syst. 61(1), 137\u2013160 (2019). https:\/\/doi.org\/10.1007\/s10115-018-1280-0","journal-title":"Knowl. Inf. Syst."},{"key":"610_CR3","doi-asserted-by":"publisher","unstructured":"Li, Y., Nair, P., Wen, Z., Chafi, I., Okhmatovskaia, A., Powell, G., Shen, Y., Buckeridge, D.: Global surveillance of COVID-19 by mining news media using a multi-source dynamic embedded topic model. In: Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. ACM, Atlanta (2020). https:\/\/doi.org\/10.1145\/3388440.3412418","DOI":"10.1145\/3388440.3412418"},{"issue":"1","key":"610_CR4","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1017\/pan.2016.7","volume":"25","author":"D Greene","year":"2017","unstructured":"Greene, D., Cross, J.P.: Exploring the political agenda of the European parliament using a dynamic topic modeling approach. Polit. Anal. 25(1), 77\u201394 (2017). https:\/\/doi.org\/10.1017\/pan.2016.7","journal-title":"Polit. Anal."},{"key":"610_CR5","doi-asserted-by":"publisher","unstructured":"Hu, J., Sun, X., Lo, D., Li, B.: Modeling the evolution of development topics using dynamic topic models. In: 2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER), pp. 3\u201312. IEEE, Macao SAR (2015). https:\/\/doi.org\/10.1109\/saner.2015.7081810","DOI":"10.1109\/saner.2015.7081810"},{"issue":"6","key":"610_CR6","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1080\/14740338.2018.1458838","volume":"17","author":"C Zou","year":"2018","unstructured":"Zou, C.: Analyzing research trends on drug safety using topic modeling. Expert Opin. Drug Saf. 17(6), 629\u2013636 (2018). https:\/\/doi.org\/10.1080\/14740338.2018.1458838","journal-title":"Expert Opin. Drug Saf."},{"key":"610_CR7","doi-asserted-by":"publisher","unstructured":"Aletras, N., Baldwin, T., Lau, J.H., Stevenson, M.: Representing topics labels for exploring digital libraries. In: Proceedings of the 14th ACM\/IEEE-CS Joint Conference on Digital Libraries. JCDL \u201914, pp. 239\u2013248. IEEE Press, London, United Kingdom (2014). https:\/\/doi.org\/10.1109\/JCDL.2014.6970174","DOI":"10.1109\/JCDL.2014.6970174"},{"key":"610_CR8","doi-asserted-by":"publisher","unstructured":"He, D., Ren, Y., Khattak, A.M., Liu, X., Tao, S., Gao, W.: Automatic topic labeling model with paired-attention based on pre-trained deep neural network, vol. 2021-July. Institute of Electrical and Electronics Engineers Inc., (2021). https:\/\/doi.org\/10.1109\/IJCNN52387.2021.9534093. https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-85116421761 &doi=10.1109%2fIJCNN52387.2021.9534093 &partnerID=40 &md5=3f8bc9f37b65f8255fcbf9b0773defe2","DOI":"10.1109\/IJCNN52387.2021.9534093"},{"key":"610_CR9","doi-asserted-by":"publisher","unstructured":"Guill\u00e9n-Pacho, I.: Dynamic Topic Models of \u201cDynamic Topic Modelling for Exploring the Scientific Literature on Coronavirus: An Unsupervised Labelling Technique\u201d, version 1.0.0. Zenodo (2024). https:\/\/doi.org\/10.5281\/zenodo.12750327","DOI":"10.5281\/zenodo.12750327"},{"key":"610_CR10","doi-asserted-by":"publisher","unstructured":"Guill\u00e9n-Pacho, I.: Topic Labels of \u201cDynamic Topic Modelling for Exploring the Scientific Literature on Coronavirus: An Unsupervised Labelling Technique\u201d, version 1.0.0. Zenodo (2024). https:\/\/doi.org\/10.5281\/zenodo.12752032","DOI":"10.5281\/zenodo.12752032"},{"key":"610_CR11","doi-asserted-by":"publisher","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient Estimation of Word Representations in Vector Space. arXiv (2013). https:\/\/doi.org\/10.48550\/ARXIV.1301.3781","DOI":"10.48550\/ARXIV.1301.3781"},{"key":"610_CR12","doi-asserted-by":"publisher","unstructured":"Mikolov, T., Sutskever, I., Chen, K., Corrado, G., Dean, J.: Distributed Representations of Words and Phrases and their Compositionality. arXiv (2013). https:\/\/doi.org\/10.48550\/ARXIV.1310.4546","DOI":"10.48550\/ARXIV.1310.4546"},{"key":"610_CR13","doi-asserted-by":"publisher","unstructured":"Devlin, J., Chang, M.-W., Lee, K., Toutanova, K.: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. arXiv (2018). https:\/\/doi.org\/10.48550\/ARXIV.1810.04805","DOI":"10.48550\/ARXIV.1810.04805"},{"key":"610_CR14","doi-asserted-by":"publisher","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, L., Polosukhin, I.: Attention Is All You Need. arXiv (2017). https:\/\/doi.org\/10.48550\/ARXIV.1706.03762","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"610_CR15","doi-asserted-by":"publisher","unstructured":"Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D., Levy, O., Lewis, M., Zettlemoyer, L., Stoyanov, V.: RoBERTa: A Robustly Optimized BERT Pretraining Approach. arXiv (2019). https:\/\/doi.org\/10.48550\/ARXIV.1907.11692","DOI":"10.48550\/ARXIV.1907.11692"},{"key":"610_CR16","doi-asserted-by":"publisher","unstructured":"He, P., Liu, X., Gao, J., Chen, W.: DeBERTa: Decoding-enhanced BERT with Disentangled Attention. arXiv (2020). https:\/\/doi.org\/10.48550\/ARXIV.2006.03654","DOI":"10.48550\/ARXIV.2006.03654"},{"key":"610_CR17","doi-asserted-by":"publisher","unstructured":"Reimers, N., Gurevych, I.: Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. arXiv (2019). https:\/\/doi.org\/10.48550\/ARXIV.1908.10084","DOI":"10.48550\/ARXIV.1908.10084"},{"key":"610_CR18","doi-asserted-by":"publisher","unstructured":"Blei, D.M., Lafferty, J.D.: Dynamic topic models. In: Proceedings of the 23rd International Conference on Machine Learning, pp. 113\u2013120 (2006). https:\/\/doi.org\/10.1145\/1143844.1143859","DOI":"10.1145\/1143844.1143859"},{"key":"610_CR19","doi-asserted-by":"publisher","unstructured":"Dieng, A.B., Ruiz, F.J.R., Blei, D.M.: The Dynamic Embedded Topic Model. arXiv (2019). https:\/\/doi.org\/10.48550\/ARXIV.1907.05545","DOI":"10.48550\/ARXIV.1907.05545"},{"key":"610_CR20","doi-asserted-by":"publisher","unstructured":"Grootendorst, M.: BERTopic: Neural topic modeling with a class-based TF-IDF procedure. arXiv (2022). https:\/\/doi.org\/10.48550\/ARXIV.2203.05794","DOI":"10.48550\/ARXIV.2203.05794"},{"issue":"Jan","key":"610_CR21","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3(Jan), 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"610_CR22","doi-asserted-by":"publisher","unstructured":"Hofmann, T.: Probabilistic latent semantic indexing. In: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 50\u201357 (1999). https:\/\/doi.org\/10.1145\/312624.312649","DOI":"10.1145\/312624.312649"},{"issue":"1","key":"610_CR23","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1007\/s41870-022-01123-4","volume":"15","author":"S Avasthi","year":"2022","unstructured":"Avasthi, S., Chauhan, R., Acharjya, D.P.: Extracting information and inferences from a large text corpus. Int. J. Inf. Technol. 15(1), 435\u2013445 (2022). https:\/\/doi.org\/10.1007\/s41870-022-01123-4","journal-title":"Int. J. Inf. Technol."},{"key":"610_CR24","doi-asserted-by":"publisher","unstructured":"Bai, Y., Jia, S., Chen, L.: Topic evolution analysis of COVID-19 news articles. In: Journal of Physics: Conference Series, vol. 1601(5), p. 052009 (2020). https:\/\/doi.org\/10.1088\/1742-6596\/1601\/5\/052009","DOI":"10.1088\/1742-6596\/1601\/5\/052009"},{"key":"610_CR25","doi-asserted-by":"publisher","unstructured":"Avasthi, S., Chauhan, R., Acharjya, D.P.: Information extraction and sentiment analysis to gain insight into the COVID-19 crisis. In: Advances in Intelligent Systems and Computing, pp. 343\u2013353. Springer (2021). https:\/\/doi.org\/10.1007\/978-981-16-2594-7_28","DOI":"10.1007\/978-981-16-2594-7_28"},{"key":"610_CR26","doi-asserted-by":"publisher","first-page":"439","DOI":"10.1162\/tacl_a_00325","volume":"8","author":"AB Dieng","year":"2020","unstructured":"Dieng, A.B., Ruiz, F.J.R., Blei, D.M.: Topic modeling in embedding spaces. Trans. Assoc. Comput. Linguist. 8, 439\u2013453 (2020). https:\/\/doi.org\/10.1162\/tacl_a_00325","journal-title":"Trans. Assoc. Comput. Linguist."},{"key":"610_CR27","doi-asserted-by":"publisher","first-page":"1078971","DOI":"10.3389\/frma.2023.1078971","volume":"8","author":"KS Messan","year":"2023","unstructured":"Messan, K.S., Sulima, P.P., Ghosh, D., Nye, J.: The research foundation for COVID-19 vaccine development. Front. Res. Metr. Anal. 8, 1078971 (2023). https:\/\/doi.org\/10.3389\/frma.2023.1078971","journal-title":"Front. Res. Metr. Anal."},{"key":"610_CR28","unstructured":"Lau, J.H., Newman, D., Karimi, S., Baldwin, T.: Best Topic Word Selection for Topic Labelling. In: Coling 2010: Posters, pp. 605\u2013613. Coling 2010 Organizing Committee, Beijing, China (2010)"},{"key":"610_CR29","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.ijhcs.2017.03.007","volume":"105","author":"TY Lee","year":"2017","unstructured":"Lee, T.Y., Smith, A., Seppi, K., Elmqvist, N., Boyd-Graber, J., Findlater, L.: The human touch: How non-expert users perceive, interpret, and fix topic models. Int. J. Hum. Comput. Stud. 105, 28\u201342 (2017). https:\/\/doi.org\/10.1016\/j.ijhcs.2017.03.007","journal-title":"Int. J. Hum. Comput. Stud."},{"issue":"2","key":"610_CR30","doi-asserted-by":"publisher","first-page":"251524592311601","DOI":"10.1177\/25152459231160105","volume":"6","author":"SJ Weston","year":"2023","unstructured":"Weston, S.J., Shryock, I., Light, R., Fisher, P.A.: Selecting the number and labels of topics in topic modeling: a tutorial. Adv. Methods Pract. Psychol. Sci. 6(2), 25152459231160104 (2023). https:\/\/doi.org\/10.1177\/25152459231160105","journal-title":"Adv. Methods Pract. Psychol. Sci."},{"key":"610_CR31","doi-asserted-by":"publisher","unstructured":"Bhatia, S., Lau, J.H., Baldwin, T.: Automatic Labelling of Topics with Neural Embeddings. arXiv (2016). https:\/\/doi.org\/10.48550\/arXiv.1612.05340","DOI":"10.48550\/arXiv.1612.05340"},{"key":"610_CR32","doi-asserted-by":"publisher","unstructured":"Mitrofanova, O., Kriukova, A., Shulginov, V., Shulginov, V.: E-hypertext media topic model with automatic label assignment. Communications in Computer and Information Science 1357 CCIS, 102\u2013114 (2021). https:\/\/doi.org\/10.1007\/978-3-030-71214-3_9","DOI":"10.1007\/978-3-030-71214-3_9"},{"key":"610_CR33","doi-asserted-by":"publisher","DOI":"10.22266\/ijies2022.0430.41","author":"S Sumpeno","year":"2022","unstructured":"Sumpeno, S., Purwitasari, D., Farandy, B., Navastara, D.A., Purnomo, M.H.: Graph model and deep learning for topic labels in classifying short texts of scientific article titles. Int. J. Intell. Eng. Syst. (2022). https:\/\/doi.org\/10.22266\/ijies2022.0430.41","journal-title":"Int. J. Intell. Eng. Syst."},{"key":"610_CR34","doi-asserted-by":"publisher","unstructured":"Zheng, B., Li, H.: Automatic Labeling of SDN Controller Defect Text Based on Neural Topic Model, pp. 402\u2013410. Institute of Electrical and Electronics Engineers Inc. (2022).https:\/\/doi.org\/10.1109\/QRS-C57518.2022.00065. https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-85152626795 &doi=10.1109%2fQRS-C57518.2022.00065 &partnerID=40 &md5=b34627485e934d235bad74f376efe96f","DOI":"10.1109\/QRS-C57518.2022.00065"},{"issue":"1","key":"610_CR35","doi-asserted-by":"publisher","first-page":"57","DOI":"10.4018\/IJOSSP.2020010104","volume":"11","author":"Y Bouziane","year":"2020","unstructured":"Bouziane, Y., Abdi, M.K., Sadou, S.: Automatically labelled software topic model. Int. J. Open Source Softw. Process. 11(1), 57\u201378 (2020). https:\/\/doi.org\/10.4018\/IJOSSP.2020010104","journal-title":"Int. J. Open Source Softw. Process."},{"issue":"5","key":"610_CR36","doi-asserted-by":"publisher","first-page":"837","DOI":"10.3390\/sym13050837","volume":"13","author":"O Kozbagarov","year":"2021","unstructured":"Kozbagarov, O., Mussabayev, R., Mladenovic, N.: A new sentence-based interpretative topic modeling and automatic topic labeling. Symmetry 13(5), 837 (2021). https:\/\/doi.org\/10.3390\/sym13050837","journal-title":"Symmetry"},{"key":"610_CR37","doi-asserted-by":"crossref","unstructured":"Ogawa, T., Saga, R.: Text-based causality modeling with a conceptual label in a hierarchical topic structure using Bayesian rose trees. In: Proceedings of the Annual Hawaii International Conference on System Sciences, vol. 2020-January, pp. 1101\u20131110 (2021)","DOI":"10.24251\/HICSS.2021.133"},{"key":"610_CR38","first-page":"224","volume-title":"Advances in Information and Communication. Advances in Intelligent Systems and Computing","author":"S Rahman","year":"2020","unstructured":"Rahman, S., Hossain, S.S., Arman, M.S., Rawshan, L., Toma, T.R., Rafiq, F.B., Badruzzaman, K.B.M.: Assessing the effectiveness of topic modeling algorithms in discovering generic label with description. In: Arai, K., Kapoor, S., Bhatia, R. (eds.) Advances in Information and Communication. Advances in Intelligent Systems and Computing, pp. 224\u2013236. Springer International Publishing, Cham (2020)"},{"issue":"2","key":"610_CR39","first-page":"85","volume":"9","author":"S Kinariwala","year":"2021","unstructured":"Kinariwala, S., Deshmukh, S.: Onto_tml: auto-labeling of topic models. J. Integr. Sci. Technol. 9(2), 85\u201391 (2021)","journal-title":"J. Integr. Sci. Technol."},{"key":"610_CR40","unstructured":"Mihalcea, R., Tarau, P.: TextRank: Bringing Order into Text. In: Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing, pp. 404\u2013411. Association for Computational Linguistics, Barcelona (2004)"},{"issue":"11","key":"610_CR41","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1145\/219717.219748","volume":"38","author":"GA Miller","year":"1995","unstructured":"Miller, G.A.: WordNet: a lexical database for English. Commun. ACM 38(11), 39\u201341 (1995). https:\/\/doi.org\/10.1145\/219717.219748","journal-title":"Commun. ACM"},{"issue":"3","key":"610_CR42","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1162\/dint_a_00013","volume":"1","author":"L Ji","year":"2019","unstructured":"Ji, L., Wang, Y., Shi, B., Zhang, D., Wang, Z., Yan, J.: Microsoft concept graph: mining semantic concepts for short text understanding. Data Intell. 1(3), 238\u2013270 (2019). https:\/\/doi.org\/10.1162\/dint_a_00013","journal-title":"Data Intell."},{"key":"610_CR43","doi-asserted-by":"publisher","unstructured":"Wu, Z., Palmer, M.: Verb semantics and lexical selection. In: 32nd Annual Meeting of the Association for Computational Linguistics, pp. 133\u2013138. Association for Computational Linguistics, Las Cruces, New Mexico (1994)https:\/\/doi.org\/10.3115\/981732.981751","DOI":"10.3115\/981732.981751"},{"issue":"225","key":"610_CR44","first-page":"71","volume":"57","author":"CI Lewis","year":"1946","unstructured":"Lewis, C.I.: An analysis of knowledge and valuation. Mind 57(225), 71\u201385 (1946)","journal-title":"Mind"},{"key":"610_CR45","volume-title":"The Structure of Empirical Knowledge","author":"L BonJour","year":"1985","unstructured":"BonJour, L.: The Structure of Empirical Knowledge. Harvard University Press, Cambridge (1985)"},{"key":"610_CR46","doi-asserted-by":"publisher","DOI":"10.1093\/0199269750.001.0001","volume-title":"Bayesian Epistemology","author":"L Bovens","year":"2004","unstructured":"Bovens, L., Hartmann, S.: Bayesian Epistemology. Oxford University Press, Oxford (2004)"},{"issue":"3","key":"610_CR47","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1007\/s11229-006-9131-z","volume":"156","author":"I Douven","year":"2007","unstructured":"Douven, I., Meijs, W.: Measuring coherence. Synthese 156(3), 405\u2013425 (2007). https:\/\/doi.org\/10.1007\/s11229-006-9131-z","journal-title":"Synthese"},{"key":"610_CR48","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1007\/978-3-030-01204-5_12","volume-title":"Artificial Intelligence and Natural Language. Communications in Computer and Information Science","author":"A Mavrin","year":"2018","unstructured":"Mavrin, A., Filchenkov, A., Koltcov, S.: Four keys to topic interpretability in topic modeling. In: Ustalov, D., Filchenkov, A., Pivovarova, L., \u017di\u017eka, J. (eds.) Artificial Intelligence and Natural Language. Communications in Computer and Information Science, pp. 117\u2013129. Springer International Publishing, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-01204-5_12"},{"key":"610_CR49","doi-asserted-by":"crossref","unstructured":"Chemudugunta, C., Smyth, P., Steyvers, M.: Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model. In: Advances in Neural Information Processing Systems, vol. 19. MIT Press (2006)","DOI":"10.7551\/mitpress\/7503.003.0035"},{"key":"610_CR50","doi-asserted-by":"publisher","unstructured":"Mei, Q., Shen, X., Zhai, C.: Automatic labeling of multinomial topic models. In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 490\u2013499. ACM, San Jose California USA (2007).https:\/\/doi.org\/10.1145\/1281192.1281246","DOI":"10.1145\/1281192.1281246"},{"key":"610_CR51","unstructured":"Wang, L.L., Lo, K., Chandrasekhar, Y., Reas, R., Yang, J., Burdick, D., Eide, D., Funk, K., Katsis, Y., Kinney, R.M., Li, Y., Liu, Z., Merrill, W., Mooney, P., Murdick, D.A., Rishi, D., Sheehan, J., Shen, Z., Stilson, B., Wade, A.D., Wang, K., Wang, N.X.R., Wilhelm, C., Xie, B., Raymond, D.M., Weld, D.S., Etzioni, O., Kohlmeier, S.: CORD-19: The COVID-19 open research dataset. In: Proceedings of the 1st Workshop on NLP for COVID-19 at ACL 2020. Association for Computational Linguistics, Online (2020). https:\/\/www.aclweb.org\/anthology\/2020.nlpcovid19-acl.1"},{"issue":"2\u20133","key":"610_CR52","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1080\/19312458.2018.1430754","volume":"12","author":"D Maier","year":"2018","unstructured":"Maier, D., Waldherr, A., Miltner, P., Wiedemann, G., Niekler, A., Keinert, A., Pfetsch, B., Heyer, G., Reber, U., H\u00e4ussler, T., Schmid-Petri, H., Adam, S.: Applying LDA topic modeling in communication research: toward a valid and reliable methodology. Commun. Methods Meas. 12(2\u20133), 93\u2013118 (2018). https:\/\/doi.org\/10.1080\/19312458.2018.1430754","journal-title":"Commun. Methods Meas."},{"issue":"3","key":"610_CR53","doi-asserted-by":"publisher","first-page":"1543","DOI":"10.1007\/s11192-022-04275-z","volume":"127","author":"Q Gao","year":"2022","unstructured":"Gao, Q., Huang, X., Dong, K., Liang, Z., Wu, J.: Semantic-enhanced topic evolution analysis: a combination of the dynamic topic model and word2vec. Scientometrics 127(3), 1543\u20131563 (2022). https:\/\/doi.org\/10.1007\/s11192-022-04275-z","journal-title":"Scientometrics"},{"issue":"3","key":"610_CR54","doi-asserted-by":"publisher","first-page":"103238","DOI":"10.1016\/j.ipm.2022.103238","volume":"60","author":"W Lou","year":"2023","unstructured":"Lou, W., Meng, J.: The diversity of canonical and ubiquitous progress in computer vision: a dynamic topic modeling approach. Inf. Process. Manag. 60(3), 103238 (2023). https:\/\/doi.org\/10.1016\/j.ipm.2022.103238","journal-title":"Inf. Process. Manag."},{"key":"610_CR55","doi-asserted-by":"publisher","first-page":"100142","DOI":"10.1016\/j.smhl.2020.100142","volume":"18","author":"J Rumbut","year":"2020","unstructured":"Rumbut, J., Fang, H., Wang, H.: Topic modeling for systematic review of visual analytics in incomplete longitudinal behavioral trial data. Smart Health 18, 100142 (2020). https:\/\/doi.org\/10.1016\/j.smhl.2020.100142","journal-title":"Smart Health"},{"issue":"13","key":"610_CR56","doi-asserted-by":"publisher","first-page":"4925","DOI":"10.3390\/s22134925","volume":"22","author":"D Atzeni","year":"2022","unstructured":"Atzeni, D., Bacciu, D., Mazzei, D., Prencipe, G.: A systematic review of Wi-Fi and machine learning integration with topic modeling techniques. Sensors 22(13), 4925 (2022). https:\/\/doi.org\/10.3390\/s22134925","journal-title":"Sensors"},{"issue":"1","key":"610_CR57","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s11134-023-09876-w","volume":"104","author":"A Shausan","year":"2023","unstructured":"Shausan, A., Vuorinen, A.: Thirty-six years of contributions to queueing systems: a content analysis, topic modeling, and graph-based exploration of research published in the QUESTA journal. Queueing Syst. 104(1), 3\u201318 (2023). https:\/\/doi.org\/10.1007\/s11134-023-09876-w","journal-title":"Queueing Syst."},{"key":"610_CR58","unstructured":"Mimno, D., Wallach, H., Talley, E., Leenders, M., McCallum, A.: Optimizing semantic coherence in topic models. In: Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, pp. 262\u2013272. Association for Computational Linguistics, Edinburgh (2011). https:\/\/aclanthology.org\/D11-1024"},{"key":"610_CR59","doi-asserted-by":"publisher","unstructured":"R\u00f6der, M., Both, A., Hinneburg, A.: Exploring the space of topic coherence measures. In: Proceedings of the Eighth ACM International Conference on Web Search and Data Mining. WSDM \u201915, pp. 399\u2013408. Association for Computing Machinery, New York (2015). https:\/\/doi.org\/10.1145\/2684822.2685324","DOI":"10.1145\/2684822.2685324"},{"key":"610_CR60","unstructured":"Bouma, G.: Normalized (pointwise) mutual information in collocation extraction. In: Proceedings of the Biennial GSCL Conference, pp. 31\u201340 (2009)"},{"issue":"1","key":"610_CR61","first-page":"22","volume":"16","author":"KW Church","year":"1990","unstructured":"Church, K.W., Hanks, P.: Word association norms, mutual information, and lexicography. Comput. Linguist. 16(1), 22\u201329 (1990)","journal-title":"Comput. Linguist."},{"key":"610_CR62","doi-asserted-by":"publisher","first-page":"104382","DOI":"10.1016\/j.jbi.2023.104382","volume":"142","author":"C Badenes-Olmedo","year":"2023","unstructured":"Badenes-Olmedo, C., Corcho, O.: Lessons learned to enable question answering on knowledge graphs extracted from scientific publications: a case study on the coronavirus literature. J. Biomed. Inform. 142, 104382 (2023). https:\/\/doi.org\/10.1016\/j.jbi.2023.104382","journal-title":"J. Biomed. Inform."},{"key":"610_CR63","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1007\/978-981-19-8746-5_2","volume-title":"Data Mining Communications in Computer and Information Science","author":"A Kumar","year":"2022","unstructured":"Kumar, A., Esmaili, N., Piccardi, M.: A temperature-modified dynamic embedded topic model. In: Park, L.A.F., Gomes, H.M., Doborjeh, M., Boo, Y.L., Koh, Y.S., Zhao, Y., Williams, G., Simoff, S. (eds.) Data Mining Communications in Computer and Information Science, pp. 15\u201327. Springer Nature, Singapore (2022). https:\/\/doi.org\/10.1007\/978-981-19-8746-5_2"},{"issue":"1","key":"610_CR64","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1471-2334-11-332","volume":"11","author":"Y-H Hsieh","year":"2011","unstructured":"Hsieh, Y.-H., Cheng, K.-F., Wu, T.-N., Li, T.-C., Chen, C.-Y., Chen, J.-H., Lin, M.-H.: Transmissibility and temporal changes of 2009 pH1N1 pandemic during summer and fall\/winter waves. BMC Infect. Dis. 11(1), 1\u201312 (2011). https:\/\/doi.org\/10.1186\/1471-2334-11-332","journal-title":"BMC Infect. Dis."},{"issue":"9","key":"610_CR65","doi-asserted-by":"publisher","first-page":"1129","DOI":"10.1292\/jvms.14-0675","volume":"77","author":"Y Adachi","year":"2015","unstructured":"Adachi, Y., Makita, K.: Real time detection of farm-level swine mycobacteriosis outbreak using time series modeling of the number of condemned intestines in abattoirs. J. Vet. Med. Sci. 77(9), 1129\u20131136 (2015). https:\/\/doi.org\/10.1292\/jvms.14-0675","journal-title":"J. Vet. Med. Sci."},{"issue":"1","key":"610_CR66","doi-asserted-by":"publisher","first-page":"4051","DOI":"10.1038\/s41598-018-22410-w","volume":"8","author":"Z Guo","year":"2018","unstructured":"Guo, Z., Xiao, D., Li, D., Wang, Y., Yan, T., Dai, B., Wang, X.: The temporal distribution of new h7n9 avian influenza infections based on laboratory-confirmed cases in mainland china, 2013\u20132017. Sci. Rep. 8(1), 4051 (2018). https:\/\/doi.org\/10.1038\/s41598-018-22410-w","journal-title":"Sci. Rep."},{"issue":"8","key":"610_CR67","doi-asserted-by":"publisher","first-page":"0007512","DOI":"10.1371\/journal.pntd.0007512","volume":"13","author":"L Worden","year":"2019","unstructured":"Worden, L., Wannier, R., Hoff, N.A., Musene, K., Selo, B., Mossoko, M., Okitolonda-Wemakoy, E., Tamfum, J.J.M., Rutherford, G.W., Lietman, T.M., Rimoin, A.W., Porco, T.C., Kelly, J.D.: Projections of epidemic transmission and estimation of vaccination impact during an ongoing Ebola virus disease outbreak in Northeastern Democratic Republic of Congo, as of Feb. 25, 2019. PLoS Negl. Trop. Dis. 13(8), 0007512 (2019). https:\/\/doi.org\/10.1371\/journal.pntd.0007512","journal-title":"PLoS Negl. Trop. Dis."},{"issue":"10","key":"610_CR68","doi-asserted-by":"publisher","first-page":"1601","DOI":"10.1093\/infdis\/jiaa491","volume":"222","author":"MN Lurie","year":"2020","unstructured":"Lurie, M.N., Silva, J., Yorlets, R.R., Tao, J., Chan, P.A.: Coronavirus disease 2019 epidemic doubling time in the united states before and during stay-at-home restrictions. J. Infect. Dis. 222(10), 1601\u20131606 (2020). https:\/\/doi.org\/10.1093\/infdis\/jiaa491","journal-title":"J. Infect. Dis."},{"issue":"4","key":"610_CR69","doi-asserted-by":"publisher","first-page":"e13944","DOI":"10.1111\/ijcp.13944","volume":"75","author":"L Kakoullis","year":"2021","unstructured":"Kakoullis, L., Eliades, E., Papachristodoulou, E., Parperis, K., Chra, P., Constantinidou, A., Chatzittofis, A., Sampsonas, F., Panos, G.: Response to COVID-19 in cyprus: policy changes and epidemic trends. Int. J. Clin. Pract. 75(4), e13944 (2021). https:\/\/doi.org\/10.1111\/ijcp.13944","journal-title":"Int. J. Clin. Pract."},{"issue":"1","key":"610_CR70","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1007\/s11071-022-07473-9","volume":"109","author":"A Hoque","year":"2022","unstructured":"Hoque, A., Malek, A., Zaman, K.M.R.A.: Data analysis and prediction of the COVID-19 outbreak in the first and second waves for top 5 affected countries in the world. Nonlinear Dyn. 109(1), 77\u201390 (2022). https:\/\/doi.org\/10.1007\/s11071-022-07473-9","journal-title":"Nonlinear Dyn."},{"issue":"9","key":"610_CR71","doi-asserted-by":"publisher","first-page":"912","DOI":"10.1111\/jpc.13586","volume":"53","author":"EV Manlongat","year":"2017","unstructured":"Manlongat, E.V., Allen, W.C.: Incomplete Kawasaki disease presenting as bilateral hip synovitis. J. Paediatr. Child Health 53(9), 912\u2013914 (2017). https:\/\/doi.org\/10.1111\/jpc.13586","journal-title":"J. Paediatr. Child Health"},{"key":"610_CR72","doi-asserted-by":"publisher","first-page":"529","DOI":"10.2147\/ccid.s241960","volume":"13","author":"GI ALHetheli","year":"2020","unstructured":"ALHetheli, G.I., Aljarbou, O.Z., Alhumidi, A., AlJasser, M.I.: Atypical palmar involvement with erythema elevatum diutinum as a sole manifestation: A report of two cases. Clin. Cosmet. Investig. Dermatol. 13, 529\u2013535 (2020). https:\/\/doi.org\/10.2147\/ccid.s241960","journal-title":"Clin. Cosmet. Investig. Dermatol."},{"issue":"39","key":"610_CR73","doi-asserted-by":"publisher","first-page":"27390","DOI":"10.1097\/md.0000000000027390","volume":"100","author":"IH Lee","year":"2021","unstructured":"Lee, I.H., Cho, S., Ahn, D.J., Kim, M.-K.: Systemic lupus erythematosus presenting as hyponatremia-associated rhabdomyolysis. Medicine 100(39), 27390 (2021). https:\/\/doi.org\/10.1097\/md.0000000000027390","journal-title":"Medicine"},{"issue":"3","key":"610_CR74","doi-asserted-by":"publisher","first-page":"0263916","DOI":"10.1371\/journal.pone.0263916","volume":"17","author":"M Saha","year":"2022","unstructured":"Saha, M., Amin, S.B., Sharma, A., Kumar, T.K.S., Kalia, R.K.: AI-driven quantification of ground glass opacities in lungs of COVID-19 patients using 3d computed tomography imaging. PLoS ONE 17(3), 0263916 (2022). https:\/\/doi.org\/10.1371\/journal.pone.0263916","journal-title":"PLoS ONE"},{"key":"610_CR75","doi-asserted-by":"publisher","first-page":"651556","DOI":"10.3389\/fmed.2021.651556","volume":"8","author":"W-Y Shi","year":"2021","unstructured":"Shi, W.-Y., Hu, S.-P., Zhang, H.-L., Liu, T.-F., Zhou, S., Tang, Y.-H., Zhang, X.-L., Shi, Y.-X., Zhang, Z.-Y., Xiong, N., Shan, F.: Differential diagnosis of COVID-19 pneumonia from influenza a (H1N1) pneumonia using a model based on clinicoradiologic features. Front. Med. 8, 651556 (2021). https:\/\/doi.org\/10.3389\/fmed.2021.651556","journal-title":"Front. Med."},{"issue":"6","key":"610_CR76","doi-asserted-by":"publisher","first-page":"653","DOI":"10.1007\/s10140-020-01833-x","volume":"27","author":"M Mirza-Aghazadeh-Attari","year":"2020","unstructured":"Mirza-Aghazadeh-Attari, M., Zarrintan, A., Nezami, N., Mohammadi, A., Zarrintan, A., Mohebbi, I., Pirnejad, H., Khademvatani, K., Ashkavand, Z., Forughi, P., Arasteh, A., Attari, J.A.: Predictors of coronavirus disease 19 (COVID-19) pneumonitis outcome based on computed tomography (CT) imaging obtained prior to hospitalization: a retrospective study. Emerg. Radiol. 27(6), 653\u2013661 (2020). https:\/\/doi.org\/10.1007\/s10140-020-01833-x","journal-title":"Emerg. Radiol."},{"issue":"3","key":"610_CR77","doi-asserted-by":"publisher","first-page":"601","DOI":"10.1016\/j.chest.2017.07.035","volume":"153","author":"CP Upchurch","year":"2018","unstructured":"Upchurch, C.P., Grijalva, C.G., Wunderink, R.G., Williams, D.J., Waterer, G.W., Anderson, E.J., Zhu, Y., Hart, E.M., Carroll, F., Bramley, A.M., Jain, S., Edwards, K.M., Self, W.H.: Community-acquired pneumonia visualized on CT scans but not chest radiographs. Chest 153(3), 601\u2013610 (2018). https:\/\/doi.org\/10.1016\/j.chest.2017.07.035","journal-title":"Chest"},{"issue":"1","key":"610_CR78","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.ccl.2013.09.004","volume":"32","author":"MM Kittleson","year":"2014","unstructured":"Kittleson, M.M., Kobashigawa, J.A.: Management of the ACC\/AHA stage d patient. Cardiol. Clin. 32(1), 95\u2013112 (2014). https:\/\/doi.org\/10.1016\/j.ccl.2013.09.004","journal-title":"Cardiol. Clin."},{"issue":"11","key":"610_CR79","doi-asserted-by":"publisher","first-page":"0242931","DOI":"10.1371\/journal.pone.0242931","volume":"15","author":"T de Nattes","year":"2020","unstructured":"de Nattes, T., Litzler, P.-Y., Gay, A., Nafeh-Bizet, C., Fran\u00e7ois, A., Guerrot, D.: Hemolysis induced by left ventricular assist device is associated with proximal tubulopathy. PLoS ONE 15(11), 0242931 (2020). https:\/\/doi.org\/10.1371\/journal.pone.0242931","journal-title":"PLoS ONE"},{"issue":"1","key":"610_CR80","doi-asserted-by":"publisher","first-page":"47","DOI":"10.14740\/cr1149","volume":"12","author":"PS Desai","year":"2021","unstructured":"Desai, P.S., Fanous, E.J., Tan, W., Lee, J., Trinh, T., Rafique, A.M., Parikh, R.V., Press, M.C.: Trajectory of cardiac catheterization for acute coronary syndrome and out-of-hospital cardiac arrest during the COVID-19 pandemic. Cardiol. Res. 12(1), 47\u201350 (2021). https:\/\/doi.org\/10.14740\/cr1149","journal-title":"Cardiol. Res."},{"key":"610_CR81","doi-asserted-by":"publisher","first-page":"882341","DOI":"10.3389\/fmed.2022.882341","volume":"9","author":"Y-H Liu","year":"2022","unstructured":"Liu, Y.-H., Cao, Z.-Y., Dai, Y.-N., Zeng, L.-H., Zhang, Y.-S., Fan, H.-L., Duan, C.-Y., Tan, N., He, P.-C.: Association of proton pump inhibitor and infection and major adverse clinical events in patients with ST-elevation myocardial infarction: A propensity score matching analysis. Front. Med. 9, 882341 (2022). https:\/\/doi.org\/10.3389\/fmed.2022.882341","journal-title":"Front. Med."},{"issue":"4","key":"610_CR82","doi-asserted-by":"publisher","first-page":"0263548","DOI":"10.1371\/journal.pone.0263548","volume":"17","author":"A Giacomelli","year":"2022","unstructured":"Giacomelli, A., Ridolfo, A.L., Pezzati, L., Oreni, L., Carrozzo, G., Beltrami, M., Poloni, A., Caloni, B., Lazzarin, S., Colombo, M., Pozza, G., Pagano, S., Caronni, S., Fusetti, C., Gerbi, M., Petri, F., Borgonovo, F., D\u2019Aloia, F., Negri, C., Rizzardini, G., Antinori, S.: Mortality rates among COVID-19 patients hospitalised during the first three waves of the epidemic in Milan, Italy: a prospective observational study. PLoS ONE 17(4), 0263548 (2022). https:\/\/doi.org\/10.1371\/journal.pone.0263548","journal-title":"PLoS ONE"},{"key":"610_CR83","doi-asserted-by":"publisher","first-page":"112694","DOI":"10.1016\/j.jenvman.2021.112694","volume":"292","author":"K Elsaid","year":"2021","unstructured":"Elsaid, K., Olabi, V., Sayed, E.T., Wilberforce, T., Abdelkareem, M.A.: Effects of COVID-19 on the environment: an overview on air, water, wastewater, and solid waste. J. Environ. Manag. 292, 112694 (2021). https:\/\/doi.org\/10.1016\/j.jenvman.2021.112694","journal-title":"J. Environ. Manag."},{"key":"610_CR84","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1016\/j.ijid.2020.03.050","volume":"95","author":"J Yuan","year":"2020","unstructured":"Yuan, J., Li, M., Lv, G., Lu, Z.K.: Monitoring transmissibility and mortality of COVID-19 in Europe. Int. J. Infect. Dis. 95, 311\u2013315 (2020). https:\/\/doi.org\/10.1016\/j.ijid.2020.03.050","journal-title":"Int. J. Infect. Dis."},{"issue":"1","key":"610_CR85","doi-asserted-by":"publisher","first-page":"10434","DOI":"10.1038\/s41598-019-46898-y","volume":"9","author":"Y Chen","year":"2019","unstructured":"Chen, Y., Zhang, Y., Xu, Z., Wang, X., Lu, J., Hu, W.: Avian influenza a (H7N9) and related internet search query data in china. Sci. Rep. 9(1), 10434 (2019). https:\/\/doi.org\/10.1038\/s41598-019-46898-y","journal-title":"Sci. Rep."},{"issue":"5","key":"610_CR86","doi-asserted-by":"publisher","first-page":"856","DOI":"10.1002\/jmv.21136","volume":"80","author":"S Wong","year":"2008","unstructured":"Wong, S., Pabbaraju, K., Pang, X.L., Lee, B.E., Fox, J.D.: Detection of a broad range of human adenoviruses in respiratory tract samples using a sensitive multiplex real-time PCR assay. J. Med. Virol. 80(5), 856\u2013865 (2008). https:\/\/doi.org\/10.1002\/jmv.21136","journal-title":"J. Med. Virol."},{"issue":"4","key":"610_CR87","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1016\/0928-0197(94)00050-5","volume":"3","author":"G Scalia","year":"1995","unstructured":"Scalia, G., Halonen, P.E., Condorelli, F., Mattila, M.L., Hierholzer, J.C.: Comparison of monoclonal biotin-avidin enzyme immunoassay and monoclonal time-resolved fluoroimmunoassay in detection of respiratory virus antigens. Clin. Diagn. Virol. 3(4), 351\u2013359 (1995). https:\/\/doi.org\/10.1016\/0928-0197(94)00050-5","journal-title":"Clin. Diagn. Virol."},{"key":"610_CR88","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.ijid.2021.07.012","volume":"110","author":"M Malik","year":"2021","unstructured":"Malik, M., Kunze, A.-C., Bahmer, T., Herget-Rosenthal, S., Kunze, T.: SARS-CoV-2: viral loads of exhaled breath and oronasopharyngeal specimens in hospitalized patients with COVID-19. Int. J. Infect. Dis. 110, 105\u2013110 (2021). https:\/\/doi.org\/10.1016\/j.ijid.2021.07.012","journal-title":"Int. J. Infect. Dis."},{"issue":"1","key":"610_CR89","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13063-020-04866-2","volume":"21","author":"O Hrdy","year":"2020","unstructured":"Hrdy, O., Vrbica, K., Strazevska, E., Suk, P., Souckova, L., Stepanova, R., Sas, I., Gal, R.: Comparison of continuous versus intermittent enteral nutrition in critically ill patients (COINN): study protocol for a randomized comparative effectiveness trial. Trials 21(1), 1\u201310 (2020). https:\/\/doi.org\/10.1186\/s13063-020-04866-2","journal-title":"Trials"},{"issue":"12","key":"610_CR90","doi-asserted-by":"publisher","first-page":"0243347","DOI":"10.1371\/journal.pone.0243347","volume":"15","author":"Y Han","year":"2020","unstructured":"Han, Y., Luo, Z., Zhai, W., Zheng, Y., Liu, H., Wang, Y., Wu, E., Xiong, F., Ma, Y.: Comparison of the clinical manifestations between different age groups of patients with overseas imported COVID-19. PLoS ONE 15(12), 0243347 (2020). https:\/\/doi.org\/10.1371\/journal.pone.0243347","journal-title":"PLoS ONE"},{"issue":"7","key":"610_CR91","doi-asserted-by":"publisher","first-page":"1259","DOI":"10.1007\/s43465-022-00635-2","volume":"56","author":"P Dhanasekararaja","year":"2022","unstructured":"Dhanasekararaja, P., Soundarrajan, D., Kumar, K.S., Pushpa, B.T., Rajkumar, N., Rajasekaran, S.: Aggressive presentation and rapid progression of osteonecrosis of the femoral head after COVID-19. Indian J. Orthop. 56(7), 1259\u20131267 (2022). https:\/\/doi.org\/10.1007\/s43465-022-00635-2","journal-title":"Indian J. Orthop."},{"issue":"1","key":"610_CR92","doi-asserted-by":"publisher","first-page":"1013","DOI":"10.1007\/s11033-018-4558-0","volume":"46","author":"ML van Schaik","year":"2018","unstructured":"van Schaik, M.L., Duijkers, R., Paternotte, N., Jansen, R., Rozemeijer, W., van der Reijden, W.A., Boersma, W.G.: Feasibility of a quantitative polymerase chain reaction assay for diagnosing pneumococcal pneumonia using oropharyngeal swabs. Mol. Biol. Rep. 46(1), 1013\u20131021 (2018). https:\/\/doi.org\/10.1007\/s11033-018-4558-0","journal-title":"Mol. Biol. Rep."},{"issue":"4","key":"610_CR93","doi-asserted-by":"publisher","first-page":"508","DOI":"10.1016\/j.acra.2021.12.011","volume":"29","author":"F Machado-Rivas","year":"2022","unstructured":"Machado-Rivas, F., Gallo-Bernal, S., Briggs, D., Pianykh, O., Gee, M.S.: Characterization of pediatric imaging trends and likelihood of exam cancellation in the COVID-19 pandemic. Acad. Radiol. 29(4), 508\u2013513 (2022). https:\/\/doi.org\/10.1016\/j.acra.2021.12.011","journal-title":"Acad. Radiol."},{"issue":"2","key":"610_CR94","doi-asserted-by":"publisher","first-page":"105479","DOI":"10.1016\/j.jstrokecerebrovasdis.2020.105479","volume":"30","author":"MC Robles","year":"2021","unstructured":"Robles, M.C., Corches, C.L., Bradford, M., Rice, T.S., Sukul, D., Springer, M.V., Bailey, S., Oliver, A., Skolarus, L.E.: Understanding and informing community emergency cardiovascular disease preparedness during the COVID-19 pandemic: Stroke ready. J. Stroke Cerebrovasc. Dis. 30(2), 105479 (2021). https:\/\/doi.org\/10.1016\/j.jstrokecerebrovasdis.2020.105479","journal-title":"J. Stroke Cerebrovasc. Dis."},{"issue":"6","key":"610_CR95","doi-asserted-by":"publisher","first-page":"543","DOI":"10.1016\/j.hroo.2021.09.008","volume":"2","author":"ME Willcox","year":"2021","unstructured":"Willcox, M.E., Compton, S.J., Bardy, G.H.: Continuous ECG monitoring versus mobile telemetry: A comparison of arrhythmia diagnostics in human-versus algorithmic-dependent systems. Heart Rhythm O2 2(6), 543\u2013559 (2021). https:\/\/doi.org\/10.1016\/j.hroo.2021.09.008","journal-title":"Heart Rhythm O2"},{"issue":"3","key":"610_CR96","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1038\/sj.bmt.1705718","volume":"40","author":"JJ Boelens","year":"2007","unstructured":"Boelens, J.J., Wynn, R.F., O\u2019Meara, A., Veys, P., Bertrand, Y., Souillet, G., Wraith, J.E., Fischer, A., Cavazzana-Calvo, M., Sykora, K.W., Sedlacek, P., Rovelli, A., Uiterwaal, C.S.P.M., Wulffraat, N.: Outcomes of hematopoietic stem cell transplantation for hurler\u2019s syndrome in Europe: a risk factor analysis for graft failure. Bone Marrow Transpl. 40(3), 225\u2013233 (2007). https:\/\/doi.org\/10.1038\/sj.bmt.1705718","journal-title":"Bone Marrow Transpl."},{"key":"610_CR97","doi-asserted-by":"publisher","unstructured":"Bai, L.Y., Chiou, T.J., Liu, J.H., Yen, C.C., Wang, W.S., Yan, M.H., Hsiao, L.T., Chao, T.C., Chen, P.M.: Hematopoietic stem cell transplantation for severe aplastic anemia\u2014experience of an institute in Taiwan. Ann. Hematol. 83(1), 38\u201343 (2003). https:\/\/doi.org\/10.1007\/s00277-003-0781-3","DOI":"10.1007\/s00277-003-0781-3"},{"key":"610_CR98","doi-asserted-by":"publisher","unstructured":"Gaziev, D., Galimberti, M., Lucarelli, G., Polchi, P., Giardini, C., Angelucci, E., Baronciani, D., Sodani, P., Erer, B., Biagi, M.D., Andreani, M., Agostinelli, F., Donati, M., Nesci, S., Talevi, N.: Bone marrow transplantation from alternative donors for thalassemia: HLA-phenotypically identical relative and HLA-nonidentical sibling or parent transplants. Bone Marrow Transplant. 25(8), 815\u2013821 (2000). https:\/\/doi.org\/10.1038\/sj.bmt.1702242","DOI":"10.1038\/sj.bmt.1702242"},{"issue":"3","key":"610_CR99","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1016\/j.pec.2020.08.004","volume":"104","author":"BG Southwell","year":"2021","unstructured":"Southwell, B.G., Eder, M., Finnegan, J., Luepker, R.V., Duval, S., Russell, C., Graves, R.N., Namboodri, A.: News coverage and online advertising effects on patient-led search for aspirin, heart health, and stroke information and educational tool use. Patient Educ. Couns. 104(3), 663\u2013665 (2021). https:\/\/doi.org\/10.1016\/j.pec.2020.08.004","journal-title":"Patient Educ. Couns."},{"key":"610_CR100","doi-asserted-by":"publisher","first-page":"814952","DOI":"10.3389\/fmed.2022.814952","volume":"9","author":"FL Scolari","year":"2022","unstructured":"Scolari, F.L., Hastenteufel, L.C.T., Einsfeld, L., Bueno, J., Orlandin, L., Clausell, N., Goldraich, L.A.: Impact of COVID-19 infection among heart transplant recipients: a southern Brazilian experience. Front. Med. 9, 814952 (2022). https:\/\/doi.org\/10.3389\/fmed.2022.814952","journal-title":"Front. Med."}],"container-title":["International Journal of Data Science and Analytics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41060-024-00610-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s41060-024-00610-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41060-024-00610-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,5]],"date-time":"2025-09-05T20:37:38Z","timestamp":1757104658000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s41060-024-00610-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,13]]},"references-count":100,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2025,9]]}},"alternative-id":["610"],"URL":"https:\/\/doi.org\/10.1007\/s41060-024-00610-0","relation":{},"ISSN":["2364-415X","2364-4168"],"issn-type":[{"value":"2364-415X","type":"print"},{"value":"2364-4168","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8,13]]},"assertion":[{"value":"16 May 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 July 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 August 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflicting interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}